AI-Enhanced Public Health Strategies for Infectious Disease Prediction and Control
Authors:-Dr. Madhusudan B.G
Abstract- Artificial Intelligence (AI) has revolutionized many domains, and its integration into public health has proven particularly crucial in the prediction and control of infectious diseases. With the increasing frequency of disease outbreaks and the global interconnectedness of societies, traditional public health approaches often fall short in providing timely and effective responses. AI offers robust solutions through predictive analytics, real-time data processing, and pattern recognition to forecast disease trends, identify hotspots, and optimize intervention strategies. This paper explores the role of AI in enhancing public health systems to combat infectious diseases by leveraging machine learning algorithms, natural language processing, and data-driven models. It highlights successful case studies, discusses the integration of AI with epidemiological tools, and addresses the ethical and infrastructural challenges involved. The discussion aims to demonstrate how AI can transform public health strategies into proactive, scalable, and efficient systems capable of mitigating the spread of infectious diseases.
